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<Articles><Article><Journal><PublisherName></PublisherName><JournalTitle>International Journal of Preventive Medicine (Int J Prev Med)</JournalTitle><Issn>2008-7802</Issn><Volume>10</Volume><Issue>11</Issue><PubDate PubStatus="epublish"><Year>2020</Year><Month>02</Month><Day>25</Day></PubDate></Journal><title locale="en_US">Comparison of Intellectual Structure of Knowledge in International Journal of Preventive Medicine with MeSH: A Co‑Word Analysis</title><FirstPage>2192</FirstPage><LastPage>2192</LastPage><Language>EN</Language><AuthorList><Author><affiliation locale="en_US">Student Research Committee, Department of Medical Library and Information Sciences, School of Management and Medical Information Sciences, Isfahan University of Medical Sciences, Isfahan</affiliation></Author><Author><affiliation locale="en_US">Department of Knowledge and Information Science, Yazd University, Yazd</affiliation></Author><Author><affiliation locale="en_US">Department of Knowledge and Information Science, School of Literature and Human Sciences, Lorestan University, Khorramabad</affiliation></Author></AuthorList><History><PubDate PubStatus="received"><Year>2020</Year><Month>02</Month><Day>25</Day></PubDate></History><abstract locale="en_US">&lt;p&gt;&lt;span class="fontstyle0"&gt;&lt;strong&gt;Background&lt;/strong&gt;: &lt;/span&gt;&lt;span class="fontstyle2"&gt;The aim of the current study is to determine the Comparison of intellectual structure of&lt;br /&gt;International Journal of Preventive Medicine (IJPM) with Medical Subject Headings (MeSH) based&lt;br /&gt;on author keywords and index terms of Scopus database and the degree of compatibility among&lt;br /&gt;these two groups of keywords.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;/strong&gt;&lt;span class="fontstyle0"&gt;&lt;strong&gt;Methods&lt;/strong&gt;: &lt;/span&gt;&lt;span class="fontstyle2"&gt;This study was carried out using a co‑word technique,&lt;br /&gt;which is one of the bibliometric methods. The study population consisted of 1104 articles published&lt;br /&gt;in IJPM and indexed in Scopus database. After retrieval the articles, data for co‑word analyses&lt;br /&gt;was extracted using UCINET and VOSviewer software applications and centrality criteria. Then,&lt;br /&gt;the compatibility of author keywords and MeSH terms was examined by Jaccard’s similarity index.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span class="fontstyle0"&gt;&lt;strong&gt;Results&lt;/strong&gt;: &lt;/span&gt;&lt;span class="fontstyle2"&gt;During the investigated years and among 2402 author keywords, on average, 561 author&lt;br /&gt;keywords (23.36%) were exact matches, 417 author keywords (17.36%) were partial matches, and&lt;br /&gt;1424 author keywords (59.28%) were not matched with the terms contained in the index. Author&lt;br /&gt;keywords matching or not matching with index‑term categories formed the largest portion of partial&lt;br /&gt;match keywords.&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;strong&gt;&lt;/strong&gt;&lt;span class="fontstyle0"&gt;&lt;strong&gt;Conclusions&lt;/strong&gt;: &lt;/span&gt;&lt;span class="fontstyle2"&gt;The use of MeSH as a standard tool by medical journals for the&lt;br /&gt;selection of keywords in scientific publications could improve the visibility and retrieval of articles,&lt;br /&gt;and increase the number of citations and journals’ impact factor.&lt;br /&gt;&lt;/span&gt;&lt;/p&gt;&lt;p&gt;&lt;span class="fontstyle0" style="color: #00652e;"&gt;&lt;strong&gt;Keywords&lt;/strong&gt;: &lt;/span&gt;&lt;span class="fontstyle3"&gt;Abstracting and indexing as topic, knowledge, medical subject headings&lt;/span&gt;&lt;/p&gt;</abstract><web_url>http://ijpm.mui.ac.ir/index.php/ijpm/article/view/2192</web_url><pdf_url>http://ijpm.mui.ac.ir/index.php/ijpm/article/download/2192/717718069</pdf_url></Article></Articles>
